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Practical Aspects of Compositional Data Analysis using Regional Geochemical Survey Data

Government geological surveys and mineral exploration companies collect large amounts of geochemicaldata, which are used in search for mineral commodities or for determining environmentaldisturbances. These surveys consist of many thousands of samples (observations) with as many as50 elements determined for each. Because the nature of the data is compositional, they must betreated according the protocols established by John Aitchison and others. This contribution detailsan approach based on the application of the alr, clr and ilr transforms for process discovery and validation.Issues of around the treatment of zeros and/or missing values are complicated due to thestoichiometric nature of the data. Case studies are presented where the use of logratio transformsand the estimation of replacement values for missing data are considered in the context of stoichiometricconstraints

Universitat de Girona. Departament d鈥橧nform脿tica i Matem脿tica Aplicada

Other contributions: Universitat de Girona. Departament d鈥橧nform脿tica i Matem脿tica Aplicada
Author: Grunsky, Eric C.
Abstract: Government geological surveys and mineral exploration companies collect large amounts of geochemicaldata, which are used in search for mineral commodities or for determining environmentaldisturbances. These surveys consist of many thousands of samples (observations) with as many as50 elements determined for each. Because the nature of the data is compositional, they must betreated according the protocols established by John Aitchison and others. This contribution detailsan approach based on the application of the alr, clr and ilr transforms for process discovery and validation.Issues of around the treatment of zeros and/or missing values are complicated due to thestoichiometric nature of the data. Case studies are presented where the use of logratio transformsand the estimation of replacement values for missing data are considered in the context of stoichiometricconstraints
Document access: http://hdl.handle.net/2072/273431
Language: eng
Publisher: Universitat de Girona. Departament d鈥橧nform脿tica i Matem脿tica Aplicada
Rights: Tots els drets reservats
Subject: An脿lisi multivariable -- Congressos
Multivariate analysis -- Congresses
Estad铆stica matem脿tica -- Congressos
Mathematical statistics -- Congresses
Geoqu铆mica -- Congressos
Geochemistry -- Congresses
Title: Practical Aspects of Compositional Data Analysis using Regional Geochemical Survey Data
Type: info:eu-repo/semantics/conferenceObject
Repository: Recercat

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